Project description
Paving the way for automated vehicles
Automated driving raises several challenges, from evaluating the driver’s ability to intervene in a driver-vehicle interaction and adequate driving training to ethical and legal perspectives and properly designed human-machine interfaces. All these factors encompass a trust dimension that is crucial for the successful interaction between human drivers and increasingly automated driving systems and vehicles. The EU-funded Trustonomy project aims to raise safety, trust and acceptance of automated vehicles. It aims to investigate, set up, test and assess relevant technologies and approaches in autonomous driving and request to intervene scenarios. This will be done taking into account key considerations such as types of users, road transport modes and driving conditions.
Objective
Despite technological breakthroughs in connected and automated transport, the total transformation of existing transportation into a fully autonomous system is still decades away. In the meantime, mixed traffic environments with semi-autonomous vehicles proactively passing the dynamic driving task back to the human driver, whenever system limits are approached, is expected to become the norm. Such a Request to Intervene (RtI) can only be successful and met with trust by end-users if the driver state is continuously monitored and his/her availability properly evaluated and sufficiently triggered (through tailored human-machine interfaces - HMIs). In parallel, driver training has to evolve to account for the safe and sensible usage of semi-automated driving, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Besides, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models.
The vision of Trustonomy (a neologism from the combination of trust + autonomy) is to maximise the safety, trust and acceptance of automated vehicles by helping to address the aforementioned technical and non-technical challenges through a well-integrated and inter-disciplinary approach, bringing domain experts and ordinary citizens to work closely together. Trustonomy will investigate, setup, test and comparatively assess, in terms of performance, ethics, acceptability and trust, different relevant technologies and approaches, including driver state monitoring systems, HMI designs, risk models, and driver training methods. This will be done through both simulator and field based studies, in a variety of autonomous driving and RtI scenarios, covering different types of users (in terms of age, gender, driving experience, etc.), road transport modes (private cars, trucks, buses), levels of automation (L3 - L5) and driving conditions.
Fields of science
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
20123 Milano
Italy
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Participants (15)
03-301 Warszawa
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77454 Marne-La-Vallee
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05200 RAJAMAKI
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LS2 9JT Leeds
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265 04 Rio Patras
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28006 Madrid
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1253 Luxembourg
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16122 Genova Ge
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1040 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
04-511 WARSZAWA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
144 51 Metamorfosi
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60 012 POZNAN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
62-005 Owinska
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38121 Trento
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00196 Roma
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